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Housing Transaction Prices and Depression Experience Rates According to Housing Types Before and After the COVID-19 Pandemic

코로나19 유행 시기 전후 주택유형에 따른 주택실거래가와 우울감 경험률

  • Kangjae Lee (Department of Location-Based Information System, Kyungpook National University) ;
  • Yunyoung Kim (Department of Nursing, Andong National University) ;
  • Keonyeop Kim (Department of Preventive Medicine, Kyungpook National University)
  • 이강재 (경북대학교 위치정보시스템학과) ;
  • 김윤영 (국립안동대학교 간호학과) ;
  • 김건엽 (경북대학교 예방의학교실)
  • Received : 2024.02.17
  • Accepted : 2024.03.22
  • Published : 2024.03.31

Abstract

Objectives: This research analyzed and compared housing transaction prices and depression rates according to housing types before and after the COVID-19 pandemic. Methods: Data on housing transaction prices and depression rates from 2018 to 2022 in 25 districts of Seoul, South Korea, were utilized. Dummy variables were employed to account for potential confounders influencing the relationship between the variables. Statistical analysis was conducted using R, and the relationship between depression rates and housing transaction prices was examined through Ordinary Least Squares (OLS) and panel data regression analysis. Results: The results of OLS and one-way random effects models indicated a significant relationship between apartment (p<.05) and officetel (p<.001) transaction prices and depression. However, detached/semi-detached and row/townhouse transaction prices did not exhibit a significant relationship with depression. Conclusion: It was observed that as apartment and officetel transaction prices increased in Seoul before and after the COVID-19 pandemic, depression rates also increased. Considering that changes in housing prices by housing type in South Korea may impact the mental health of local residents, it is deemed necessary to consider healthy housing and housing prices as comprehensive determinants of mental health.

Keywords

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